Triple
T6313818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Antarctica |
E141566
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Queen Maud Land |
E95617
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Queen Maud Land | Statement: [East Antarctica, hasPart, Queen Maud Land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen Maud Land Context triple: [East Antarctica, hasPart, Queen Maud Land]
-
A.
Queen Maud Land
chosen
Queen Maud Land is a region of Antarctica claimed by Norway, known for its vast ice-covered terrain and numerous research stations.
-
B.
Adélie Land
Adélie Land is a portion of the Antarctic continent claimed by France and administered as part of the French Southern and Antarctic Lands.
-
C.
Marie Byrd Land
Marie Byrd Land is a vast, remote, and largely ice-covered region of West Antarctica lying between the Ross Sea and the Amundsen Sea, notable for being one of the largest unclaimed territories on Earth.
-
D.
Princess Elizabeth Land
Princess Elizabeth Land is a large, remote region of East Antarctica characterized by extensive ice sheets and largely unexplored, inhospitable terrain.
-
E.
Søndre Land
Søndre Land is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and traditional agricultural landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064a075dc8190acf7ec010cb4b00c |
completed | March 22, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6040337908190a10f7cd9c1264267 |
completed | March 27, 2026, 4:13 a.m. |
Created at: March 22, 2026, 4:28 p.m.